ML Ops Engineer

tsworks is a leading technology innovator, providing transformative products and services designed for the digital-first world. Our mission is to provide domain expertise, innovative solutions and thought leadership to drive exceptional user and customer experiences. Demonstrating this commitment, we have a proven track record of championing digital transformation for industries such as Banking, Travel and Hospitality, and Retail (including e-commerce and omnichannel), as well as Distribution and Supply Chain, delivering impactful solutions that drive efficiency and growth. We take pride in fostering a workplace where your skills, ideas, and attitude shape meaningful customer engagements

• Conduct Model Development: Develop, optimize, and validate ML models using scikit-learn, TensorFlow, Keras or PyTorch.
• Perform Validation and fine-tuning: Validate and optimize models to meet necessary accuracy and efficiency requirements.
• Champion Cloud Deployment: Design and deploy ML solutions on cloud platforms such as AWS, Azure, or GCP, ensuring efficiency and scalability. Experience in using MLFlow/Mosaic, SageMaker, ModelBuilder, ModelRegistry etc. will be crucial.
• Manage ML Infrastructure: Manage the lifecycle of machine learning models, including training, evaluation, deployment, and monitoring.
• Lead AutoML: Create/train/evaluate/deploy models using AutoML frameworks
• Be a DevOps proponent: Set up CI/CD pipelines for ML projects, containerization of inference modules.
• Build APIs: Develop REST APIs for model deployment using frameworks such as FastAPI, Flask or Django
• Generate Data Insights: Analyze large-scale data sets to derive actionable insights and guide AI/ML solution design.  
• Contribute to Product Development: Collaborate with cross-functional teams to design and integrate AI/ML components into innovative products and services.
• Stay updated with the latest advancements in AI/ML and contribute to the broader research community.

• Bachelor’s degree or equivalent practical experience in Computer Science, Data Science, or a related technical field. Candidates with a Master’s degree or PhD preferred.
• 7+ Years of Information Technology experience.
• 3+ years of experience with cloud-based ML infrastructure, including model deployment, evaluation, optimization, deployment, and monitoring.
• 5+ years of experience in software development, working with data structures and algorithms in one or more programming languages (e.g., Python, Java, R).

• The opportunity to work on cutting-edge AI/ML projects that address real-world challenges.
• A collaborative environment where innovation and leadership are encouraged.
• Access to industry-leading tools and platforms, enabling you to push the boundaries of AI.